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0321807
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update title

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  1. app.py +9 -11
app.py CHANGED
@@ -383,19 +383,17 @@ with demo:
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  with gr.Row():
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  gr.Markdown('''
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- ## Available models and languages
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- There are five model sizes, four with English-only versions, offering speed and accuracy tradeoffs. Below are the names of the available models and their approximate memory requirements and inference speed relative to the large model; actual speed may vary depending on many factors including the available hardware.
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- | Size | Parameters | English-only model | Multilingual model | Required VRAM | Relative speed |
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- |:------:|:----------:|:------------------:|:------------------:|:-------------:|:--------------:|
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- | tiny | 39 M | `tiny.en` | `tiny` | ~1 GB | ~32x |
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- | base | 74 M | `base.en` | `base` | ~1 GB | ~16x |
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- | small | 244 M | `small.en` | `small` | ~2 GB | ~6x |
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- | medium | 769 M | `medium.en` | `medium` | ~5 GB | ~2x |
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- | large | 1550 M | N/A | `large` | ~10 GB | 1x |
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-
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- The `.en` models for English-only applications tend to perform better, especially for the `tiny.en` and `base.en` models. We observed that the difference becomes less significant for the `small.en` and `medium.en` models.
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  ''')
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  with gr.Row():
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  gr.Markdown('''
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+ ## Model dan bahasa
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+ Di bawah ini adalah nama-nama model yang tersedia beserta perkiraan kebutuhan memori dan kecepatan inferensi relatif terhadap model besar; kecepatan sebenarnya dapat bervariasi tergantung pada banyak faktor termasuk perangkat keras yang tersedia.
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+ | Size | Parameters | Multilingual model | Required VRAM | Relative speed |
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+ |:------:|:----------:|:------------------:|:-------------:|:--------------:|
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+ | tiny | 39 M | `tiny` | ~1 GB | ~32x |
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+ | base | 74 M | `base` | ~1 GB | ~16x |
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+ | small | 244 M | `small` | ~2 GB | ~6x |
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+ | medium | 769 M | `medium` | ~5 GB | ~2x |
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+ | large | 1550 M | `large` | ~10 GB | 1x |
 
 
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  ''')
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